General practice as a complex system: a novel analysis of consultation data

Abstract

Complex systems have specific properties of robustness and self organisation which arise from interacting components within the overall system and which govern the system's behaviour. These are typically associated with a power law distribution of event sizes. Commentators have suggested that health systems are complex, but there has been limited quantitative investigation of this issue.

title = "General practice as a complex system: a novel analysis of consultation data",

abstract = "Complex systems have specific properties of robustness and self organisation which arise from interacting components within the overall system and which govern the system's behaviour. These are typically associated with a power law distribution of event sizes. Commentators have suggested that health systems are complex, but there has been limited quantitative investigation of this issue.",

author = "Tom Love and Chris Burton and Burton, {Christopher David}",

year = "2005",

doi = "10.1093/fampra/cmi023",

language = "English",

volume = "22",

pages = "347--52",

journal = "Family Practice",

issn = "0263-2136",

publisher = "Oxford University Press",

number = "3",

}

TY - JOUR

T1 - General practice as a complex system

T2 - a novel analysis of consultation data

AU - Love, Tom

AU - Burton, Chris

AU - Burton, Christopher David

PY - 2005

Y1 - 2005

N2 - Complex systems have specific properties of robustness and self organisation which arise from interacting components within the overall system and which govern the system's behaviour. These are typically associated with a power law distribution of event sizes. Commentators have suggested that health systems are complex, but there has been limited quantitative investigation of this issue.

AB - Complex systems have specific properties of robustness and self organisation which arise from interacting components within the overall system and which govern the system's behaviour. These are typically associated with a power law distribution of event sizes. Commentators have suggested that health systems are complex, but there has been limited quantitative investigation of this issue.